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Difference in tracer delay-induced effect among deconvolution algorithms in CT perfusion analysis: quantitative

Kohsuke Kudo¹, Makoto Sasaki, Kuniaki Ogasawara

¹Advanced Medical Research Center, Iwate Medical University, 19-1 Uchimaru, Morioka 020-8505, Japan. kokudo@iwate-med.ac.jp

|February 5, 2009

Summary

Block-circulant singular value decomposition (bSVD) effectively minimizes errors in CT perfusion imaging caused by tracer delays. This method outperforms standard SVD (sSVD) and delay-corrected SVD (dSVD), ensuring more accurate results for cerebral blood flow and mean transit time.

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Published on: October 22, 2019

Area of Science:

Medical Imaging
Radiology
Biophysics

Background:

Computed tomographic (CT) perfusion imaging is crucial for assessing brain perfusion.
Tracer delay can introduce significant errors in perfusion parameters like cerebral blood flow and mean transit time.
Accurate deconvolution algorithms are essential for reliable CT perfusion analysis.

Purpose of the Study:

To evaluate the impact of tracer delay on different deconvolution algorithms in CT perfusion imaging.
To compare the performance of standard singular value decomposition (sSVD), block-circulant SVD (bSVD), and delay-corrected SVD (dSVD).

Main Methods:

Utilized digital phantoms derived from actual source data to simulate tracer delay.
Applied three deconvolution algorithms: sSVD, bSVD, and dSVD.
Assessed the accuracy of cerebral blood flow and mean transit time calculations under varying delay conditions.

Main Results:

Standard SVD (sSVD) showed significant errors in cerebral blood flow and mean transit time due to tracer delays.
Block-circulant SVD (bSVD) demonstrated minimal changes in these parameters, indicating robustness against tracer delays.
Delay-corrected SVD (dSVD) exhibited mild changes, performing better than sSVD but less effectively than bSVD.

Conclusions:

Block-circulant SVD (bSVD) is superior to sSVD and dSVD in mitigating tracer delay-induced artifacts in CT perfusion imaging.
bSVD offers a more reliable approach for accurate quantitative perfusion analysis, especially when tracer delay is a concern.
The findings suggest bSVD as a preferred deconvolution method for enhancing the diagnostic accuracy of CT perfusion studies.